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Hits 81 – 99 of 99

81
Time map phonology : finite state models and event logics in speech recognition
Carson-Berndsen, Julie. - Dordrecht [u.a.] : Kluwer, 1998
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Institut für Empirische Sprachwissenschaft
UB Frankfurt Linguistik
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82
Automatic Articulatory Annotation of Multi Sensor Database
In: 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings ; ISBN: 0-7803-3192-3 ; IEEE International Conference on Acoustics, Speech, and Signal Processing Conference (ICASSP 1996) ; https://hal.archives-ouvertes.fr/hal-03615575 ; IEEE International Conference on Acoustics, Speech, and Signal Processing Conference (ICASSP 1996), 1996, Atlanta, United States. pp.829--832, ⟨10.1109/ICASSP.1996.543249⟩ ; https://ieeexplore.ieee.org/document/543249 (1996)
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83
Discourse goals and attentional processes in sentence production : the dynamic construal of events
In: Conceptual structure, discourse and language. - Stanford : CSLI Publications (1996), 149-161
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84
Selective impairments of action naming : arguments and a case study
In: Linguistics and cognitive neuroscience. - Opladen : Westdt. Verl. (1994), 62-82
BLLDB
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85
Mining Temporal Patterns of Movement for Video Content Classification Michael Fleischman Cognitive Machines Group
In: http://www.mit.edu/~mbf/MIR_06.pdf
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86
Using Syntactic Dependencies and WordNet Classes for Noun Event Recognition
In: http://ceur-ws.org/Vol-902/paper_5.pdf
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87
Motion events in language and cognition
In: http://xcelab.net/rm/wp-content/uploads/2008/10/motion_events.pdf
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88
Video Content Classification
In: http://www.ismll.uni-hildesheim.de/lehre/semML-09s/script/p183-fleischman.pdf
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89
Video Content Classification
In: http://web.media.mit.edu/~dkroy/papers/pdf/fleischman_decamp_2006.pdf
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90
Mining Temporal Patterns of Movement for Video Event Recognition Michael Fleischman Cognitive Machines Group
In: http://www.media.mit.edu/cogmac/publications/MIR_06.pdf
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91
Manuscript statistics: Words: 14,000
In: http://www.isc.cnrs.fr/dom/Dominey-AIJR5.pdf
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92
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
In: http://www.ddl.ish-lyon.cnrs.fr/fulltext/Jacquier/Jacquier_2005_CogSci.pdf
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93
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
In: http://www.psych.unito.it/csc/cogsci05/frame/poster/1/f718-jacquier.pdf
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94
ERP Evidence for an Interaction between Phonological and Semantic Processes in Masked Priming Tasks
In: http://csjarchive.cogsci.rpi.edu/Proceedings/2005/docs/p1030.pdf
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95
Invited Paper A Hierarchical Framework for Understanding Human-Human
In: http://www.cs.rochester.edu/u/spark/papers/Park_EI121_2005_invited.pdf
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96
Processing Visual Words With Numbers: Electrophysiological Evidence for Semantic Activation
Abstract: Perea, Duñabeitia, and Carreiras (2008) found that LEET stimuli, formed by a mixture of digits and letters (e.g., “T4BL3” instead of “TABLE”), produced similar priming effects as regular words. This finding led them to conclude that LEET stimuli automatically activate lexical information. The present study examined whether semantic activation occurs for LEET stimuli using an electrophysiological measure called the N400 effect. The N400 effect, also known as mismatch negativity, reflects detection of a mismatch between a word and the current semantic context. This N400 effect can occur only if the LEET stimulus has been identified and processed semantically. Participants determined whether a stimulus (word or LEET) was related to a given category (e.g., “APPLE” or “4PPL3” belongs to the category “fruit” but “TABLE” or “T4BL3” does not). We found that LEET stimuli produced an N400 effect similar in magnitude to that for regular uppercase words, suggesting that LEET stimuli can access meaning in a similar manner to words presented in consistent uppercase letters.
Keyword: Event-Related Potentials; Semantic Activation; Visual Word Recognition
URL: http://ir.library.oregonstate.edu/concern/articles/5138jk84z
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97
Electrophysiological Evidence of Different Loci for Case Mixing and Word Frequency Effects in Visual Word Recognition
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98
Visual information constrains early and late stages of spoken-word recognition in sentence context
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99
Unraveling the mystery about the negative valence bias: does arousal account for processing differences in unpleasant words?
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